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FKIE_CVE-2020-35342

Vulnerability from fkie_nvd - Published: 2023-08-22 19:16 - Updated: 2026-06-17 03:13
Severity
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Summary
GNU Binutils before 2.34 has an uninitialized-heap vulnerability in function tic4x_print_cond (file opcodes/tic4x-dis.c) which could allow attackers to make an information leak.
References
cve@mitre.orghttps://security.netapp.com/advisory/ntap-20231006-0009/
cve@mitre.orghttps://sourceware.org/bugzilla/show_bug.cgi?id=25319Exploit, Issue Tracking
af854a3a-2127-422b-91ae-364da2661108https://security.netapp.com/advisory/ntap-20231006-0009/
af854a3a-2127-422b-91ae-364da2661108https://sourceware.org/bugzilla/show_bug.cgi?id=25319Exploit, Issue Tracking
Impacted products
Vendor Product Version
gnu binutils *
To clipboard 

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          "vendor": "n/a",
          "versions": [
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      "value": "GNU Binutils before 2.34 has an uninitialized-heap vulnerability in function tic4x_print_cond (file opcodes/tic4x-dis.c) which could allow attackers to make an information leak."
    },
    {
      "lang": "es",
      "value": "GNU Binutils antes de 2.34 tiene una vulnerabilidad de memoria no inicializada en la funci\u00f3n tic4x_print_cond (archivo opcodes/tic4x-dis.c) que podr\u00eda permitir a los atacantes realizar una fuga de informaci\u00f3n.\n"
    }
  ],
  "id": "CVE-2020-35342",
  "lastModified": "2026-06-17T03:13:39.577",
  "metrics": {
    "cvssMetricV31": [
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        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 7.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
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          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
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  "vulnStatus": "Modified",
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}



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Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.